DOI QR코드

DOI QR Code

Design and Implementation of a Motor Vehicle Emergency Situation Detection System

차량용 사고 상황 감지 시스템의 설계 및 구현

  • Received : 2013.07.09
  • Accepted : 2013.10.02
  • Published : 2013.11.30

Abstract

Car running data collected from the vehicle is a native image data and sensing data of it. Hence, it can be used as a set of objective data based on which events that took place outside the car can be analyzed and determined. In this paper, we designed and implemented a emergency situation detection system to sense, store, and analyze signals related to car movements, driver's various operation states, collision pulse, etc when a car collision accident occurs on the actual road by sensing and analyzing the car movements and driver's operation status. The suggested system provides information on the driver's reaction right before the collision, operation state of the vehicle, and physical movement. The collected and analyzed data on vehicle running can be utilized to clarify the cause of a collision accident and to handle it in a just manner. Besides, it can contribute to grasping and correcting wrong driving habits of the driver and to saving.

차량에서 수집된 차량 운행 데이터는 차량에서 발생한 영상 데이터 및 센싱 데이터가 그대로 기록된 것이기 때문에 외부에서 차량에서 일어나는 일을 분석하여 판단할 수 있는 객관적인 데이터로 이용할 수 있다. 본 논문에서는 차량의 움직임 및 운전자의 조작 상태를 감지하고 분석하여 실제 도로 상황에서 차량 충돌 사고가 발생했을 때, 차량의 움직임, 운전자의 각종 조작상태, 충돌 펄스 및 충돌과 관련된 신호들을 감지하고 저장하여 분석하는 사고 상황감지 시스템을 설계 및 구현하였다. 제안한 시스템에서는 충돌 직전 운전자의 반응, 차량의 조작 상태 및 물리적인 움직임에 대한 정보를 제공한다. 이렇게 수집하여 분석한 차량 운행 데이터는 충돌 사고가 발생했을 때, 사고 원인을 규명하고 공정한 사고처리에 이용할 수 있으며, 운전자의 운전 습관을 파악하여 잘못된 운전 습관의 교정 및 유류비 절감 등의 효과를 얻을 수 있다.

Keywords

References

  1. e-National indicators : Occurrence of traffic accidents, http://www.index.go.kr/egams/index.jsp.
  2. Donghyo Kim, Wonseop han, Inhwa Han, Sunchae Kim, Informed and intelligent traffic accident analysis system research and development, The Korea Transport Institute, pp.177, 2004.
  3. Wonhee Lee, Inhwan Han, Development and test of a motor vehicle event data recorder, Journal of Automobile Engineering, Vol.218, No.9, pp.977-985, 2004. 9. https://doi.org/10.1243/0954407041856755
  4. Wonhee Lee, Inhwan Han, Development of an Automobile Black Box for Reconstruction Analysis of Collision Accidents, Transaction of KASE, Vol. 12, No. 2, pp.205 214, 2004. 2.
  5. JunYeung Min, Image processing-based transportation information collection and analysis of accidents and unexpected detection system technology trends, The Magazine of the IEEK, Vol. 39, No.12, pp.47-54, 2012. 12.
  6. Sunyoung Kim, Younggo Gi, Smart car driver in an environment of context-aware service center proposal, Communications of the KIISE, Vol. 29, No. 9, pp.27-34, 2011. 9.
  7. Seungjin Lee, Jongman park, Sungdae Jung, Sangsun Lee, The Reaearch of an Emergency Rescue System based on Black Box in vehicular Environment, KASE 2007 ITS Symposiums, pp.64-70, 2007. 8.
  8. Doowy Kwon, Hoonjae Lee, Suhyun park, Kyeonghoon Do, Design and Implementation of a Motor Vehicle Emergency Situation Detection System using Accelerometer, Proceedings of the Korean Institute of Information and Communication Sciences Conference , pp.200-202, 2010. 10.
  9. Doowy Kwon, Hoonjae Lee, Suhyun park, Kyeonghoon Do, Blackbox-based a Vehicle Emergency Situation Detection and Notification System, The Journal of Journal of the Korea Institute of Information and Communication Engineering, Vol. 14, No. 11, pp.2423-2428, 2010. 118. https://doi.org/10.6109/jkiice.2010.14.11.2423
  10. Sung-Hwan Jung, Hoonwhan Lee, Detection Algorithm of Crossroad Traffic Accident using the Sequence of Traffic Lights, The KIPS Transactions : part B, Vol.16-B, No. 1, pp.17-24, 2009. 2. https://doi.org/10.3745/KIPSTB.2009.16-B.1.17
  11. Sunha Lee, Wooyoung Ahn, Hechan Kang, An Incident Detection method for Using Speed-Density Relations, Journal of Korean Society of Transportation, Vol. 24, No.2, pp.127-137, 2006. 4.
  12. Wikipedia, http://ko.wikipedia.org/.